Package flexconn details

FLEXCONN Model

FLEXCONN model for multiple sclerosis lesion segmentation from magnetic resonance imaging ('MRI'). Specifically, the 'MRI' imaging sequences are T1-weighted imaging and 'FLAIR' imaging.

Maintainer: John Muschelli < muschellij2 at gmail.com >

 
From within R, enter citation(flexconn)


Roy S, Butman JA, Reich DS, Calabresi PA, Pham DL (2018). "Multiple
Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional
Neural Networks." _arXiv preprint arXiv:1803.09172_.

A BibTeX entry for LaTeX users is

@Article{roy2018multiple,
title = {Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks},
author = {Snehashis Roy and John A Butman and Daniel S Reich and Peter A Calabresi and Dzung L Pham},
journal = {arXiv preprint arXiv:1803.09172},
year = {2018},
}

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('flexconn')

# From the Binary Repo in NeuroC
neuro_install('flexconn', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('flexconn', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('flexconn', release = "stable", release_repo = "github")
neuro_install('flexconn', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on October 1 2018 4:17PM
Last updated on September 16 2019 12:02AM
Package type standard
Source GitHub https://github.com/muschellij2/flexconn.git GitHub
Neuroconductor GitHub https://github.com/neuroconductor/flexconn GitHub
Importskeras, tensorflow, neurobase (1.27.7), RNifti, KernSmooth, reticulate, pracma, stats, utils
Suggestscovr, knitr, rmarkdown, testthat, grDevices